pycrumbs.md

#Contents

• Beginner's Delight
• Style Guide and Idioms
• Dictionary
• Decorators
• Generators
• Iterators
• Yield
• Context Managers
• Unicode
• Networking
• Metaclasses
• Documentation
  • Sphinx
• Debugging
• Testing
• Environment and Environment Management
• Profiling
• Packaging
• Deployment
  • Fabric
• Warts and Gotchas
• Web
  • Frameworks
    • Flask
    • Web2Py
    • Django
    • Bottle
  • API and Web Services
  • Scraping
• Mobile Development
  • Kivy
• Google Glass
  • Resources
  • Libraries
• GUI Programming
• WSGI
• Databases
  • SQLAlchemy
• Data Mining
• Data Analysis
  • Pandas
• Design Patterns
  • Concurrency Patterns
• Distributed Systems
• Python 2 vs Python 3
• Books
  • Free
  • Paid
• Discussions
• Conferences and Events
• Videos
• Editors and IDE's for Python programming
• Big Data
• Curated Python resources from other websites
• Miscellaneous

##Beginner's Delight

• Beginner's guide to Python
• The Hitchhiker's guide to Python
• Learn Python the hard way
• Google's Python class
• Python tracks at Codecademy
• Python Monk
• Python for Beginners
• Best way to learn python
• Python Tips, tools and resources
• Python Koans: Learn Python through TDD
• LearnStreet Python course
• Beginner projects for a python newbie
• Learn X in Y minutes - Python
• Python Practice book
• Facts and myths about Python names and values
• *args and **kwargs in python explained
• Common newbie mistakes in Python- Part 1
• Common newbie mistakes in Python- Part 2
• PySchools
• Some cool Python Tricks
• http://blog.amir.rachum.com/post/30176371115/you-cant-handle-the-truth
• Better Python APIs
• Declaring dependencies in Python
• Storing and Loading Data with JSON - Serialization/deserialization
• A Guide to Python's Magic Methods
• Efficient String Concatenation in Python
• Be Pythonic: init.py
• Building an open-source Python application the right way
• Python progression path - From apprentice to guru

##Style Guide and Idioms

• PEP 8 - Style Guide for Python Code
• Code Like a Pythonista: Idiomatic Python

##Dictionary

• Python hash, id and dictionary order
• Notes on dictionary implementation
• Python: The Dictionary Playbook

##Decorators

• Understanding Python Decorators in 12 easy steps
• Common uses of Python decorators - Quora
• Common uses of Python decorators - Stack Overflow
• Python Decorators
• Decorators I: Introduction to Python Decorators
• Decorators and annotations
• The dark side of decorators
• Thinking out aloud: Python decorators
• Using Python decorators for registering callbacks
• Meta-matters: Using decorators for better Python programming
• How can I make a chain of function decorators in Python?

##Generators

• Generator Tricks for Systems Programmers
• Delegating to a Subgenerator in Python 3

##Iterators

• Understanding Iterators and Iterables

##Yield

• Python yield keyword explained

##Context Managers

• Understanding Python's with statement
• The Python "with" Statement by Example

##Unicode

• Explain Unicode like I'm five years old
• Unicode Pain
• Python encodings and Unicode
• The Updated Guide to Unicode on Python

##Networking

• An intro to Python socket network programming

##Metaclasses

• A primer on python metaclasses
• What is a metaclass in Python ?
• Yet Another Python Metaclass tutorial

##Documentation

• Documentation is King
• Make your open source project documentation suck less

###Sphinx

• Quick Sphinx documentation for Python

##Debugging

• Debugging Tools in Python

##Testing

• Nose Introduction
• Unittest Introduction
• How To Use Coverage.py With Unittest
• An Extended Introduction to the nose Unit Testing Framework
• Test strategies for your Python projects

##Environment and Enivronment Management

• Virtualenv - The official documentation
• Getting started with virtual env
• Extension to Virtualenv
• VirtualEnv Burrito = virtualenv + virtualenvwrapper

##Profiling

• A guide to analyzing Python performance

##Packaging

• The Hitchhiker’s Guide to Packaging
• Sharing Your Labor of Love: PyPI Quick And Dirty
• Open Sourcing a Python Project the Right Way
• 5 tips for packaging your Python projects
• AOSA: Python Packaging
• The Package Dependency Blues
• 5 Simple Rules For Building Great Python Packages
• Unofficial Windows Binaries for Python Extension Packages
• Py2app: Standalone Mac OS X applications
• PyInstaller: Stand-alone executables, under Windows, Linux, Mac OS X, Solaris and AIX

##Deployment

• Solid Python Deployments for Everybody

###Fabric

• Using Fabric in a development environment

##Warts and Gotchas

• Python 2.x gotcha's and landmines
• Python Warts
• Python Gotchas
• Common Pitfalls in Python

##Web

• Python and Realtime Web
• List of Python API’s

###Frameworks ####Flask

• Flask Mega Tutorial Series
• Designing a RESTful API with Python and Flask
• Building websites in Python with Flask
• How I structure my Flask apps
• Designing a RESTful API using Flask-RESTful
• Rapid Web Prototyping with Lightweight Tools
• Build a Simple, Static, Markdown-Powered Blog with Flask

####Web2Py

• Building a Twitter clone in Web2Py

####Django

• The official Django documentation
• Getting started with Django
• Building a hacker news clone in Django
• Django Architecture: The good, bad and ugly
• Djen of Django
• Deploying Django
• http://www.lightbird.net/dbe/
• http://showmedo.com/videotutorials/series?name=PPN7NA155

####Bottle

• Developing with Bottle- Part 1

###API and Web Services

• How to access various web services in python

###Scraping

• Web Scraping with BeautifulSoup
• Web Scraping 101 with Python
• Web Scraping with Scrapy Framework
• How to automatically search and download torrents with Python and Scrapy

##Mobile Development ###Kivy

• Creating an app in Kivy

##Google Glass ###Resources

• The official Python Quick Start for Google Glass

###Libraries ####glass.py

• Create python web applications for Google Glass

##Image Processing

• http://www.riisen.dk/dop/pil.html

##GUI Programming

• PyQt Tutorial
• Standalone executable for PyQt4 on Windows

##WSGI

• Getting started with WSGI
• WSGI Basics

##Databases

###SQLAlchemy

• http://www.aosabook.org/en/sqlalchemy.html
• http://lucumr.pocoo.org/2011/7/19/sqlachemy-and-you/

##Data Mining

• Linux system mining using Python

##Data Analysis ###Pandas

• A 10 min intro to Pandas
• http://manishamde.github.io/blog/2013/03/07/pandas-and-python-top-10/
• Learn Pandas

##Design Patterns

• Python Best Practice Patterns by Vladimir Keleshev

###Concurrency Patterns

• Wasps Nest Pattern
• Wasp's Nest: The Read-Copy-Update Pattern In Python

##Distributed Systems

• Gevent and ZeroMQ
• [Celery: Distributed Task Queue](Celery: Distributed Task Queue)

##Python 2 vs 3

• Python 2 or 3 ?

##Books ###Free

• Some free books on Python
• Invent with Python
• Think Python
• Byte of Python
• Snake Wrangling for Kids
• Data Structures and Algorithms with Object-Oriented Design Patterns in Python
• Python programming on wikibooks
• Dive Into Python 3
• Programming Computer Vision with Python

###Paid

• Some list of paid books on python
• Porting to Python 3 - The Book Site

##Discussions

• https://news.ycombinator.com/item?id=3746692
• https://news.ycombinator.com/item?id=5944863
• StackOverflow - Python beyond the basics
• StackOverflow - Python progression path from apprentice to guru
• StackOverflow - Zen of Python
• StackOverflow - Hidden Features of Python

##Conferences and events

• Official PyCon website
• Lanyrd - Python Conference and Events
• Meetup.com - Python Meetup Groups

##Videos

• Guido Van Rossum on the history of Python
• PyVideo
• Khan Academy - Introduction to programming and computer science using Python
• Lanyrd - Python Videos
• Python Videos, Tutorials and Screencasts at ShowMeDo
• Talks by Brandon Rhodes
• New Boston Python Videos

##Editors and IDE's for Python programming

• Setting up Sublime Text for Python Development
• Sublime Text 2 Love by Kenneth Reitz
• Sublime Text 2 tips for Python and web developers
• PyCharm

##BigData

• Mind map of Python for Big Data

##Curated Python resources from other websites

• Python Resources (All) - Codesters.org

##Miscellaneous

• Good to great Python reads
• How to Create Barcodes in Your PDFs with Python
• What are some good Python interview questions ?
• Python innards introduction
• Projects - A list of practical projects
• More Python Tutorials
• Simple Sudoku solver in python
• Looking Inside Dropbox – Security whitepaper
• Why sorting an array makes a Python loop faster
• Python Integer object implementation
• The history of Python - Blog
• The ever useful and neat subprocess module
• Hidden Features in Python